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from fastai.vision.all import *
import gradio as gr
learn = load_learner('ripeorrotten_apple.pkl')
categories = ('ripe', 'rotten')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
intf.launch()
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